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Machine Learning Startup Jobs in New York (NOW HIRING)

Orita

Senior Machine Learning Engineer

New York, NY · On-site +1

$180K - $250K/yr

The Role As a Senior Machine Learning Engineer at Orita, you will: * Build and Productionize Models ... Experience in a fast-paced or startup environment. * You live in or near New York City. Most of us ...

Good Inside

Senior Machine Learning Engineer

New York, NY · On-site +1

$205K - $235K/yr

You'll work at the intersection of backend systems and machine learning, building the ... Startup Growth Experience: This isn't your first time helping a high-growth startup scale. You are ...

Wonder

Senior Machine Learning Engineer

Manhattan, NY

$176K - $191K/yr

... startup. As a leading U.S. ordering and delivery marketplace, we feature over 415,000 merchants in ... or Machine Learning Engineer to work in our Discovery and Foundation team. We are focused on ...

Career Renew

Senior Machine Learning Engineer

New York, NY · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... startup environment Extensive use of AI tools for coding, optimization, and ideation Preferred ...

Finch Legal Inc

Machine Learning Engineer

Manhattan, NY · On-site +1

$180K - $280K/yr

As a Machine Learning Engineer at Finch, you'll own the full lifecycle of AI systems, from ... Prior work at an early-stage startup where you helped define ML infrastructure from scratch.

Finch Legal Inc

Machine Learning Engineer

New York, NY · On-site

$180K - $280K/yr

As a Machine Learning Engineer at Finch, you'll own the full lifecycle of AI systems, from ... Prior work at an early-stage startup where you helped define ML infrastructure from scratch.

Grubhub

Senior Machine Learning Engineer

New York, NY · Hybrid

$176K - $191K/yr

... startup. As a leading U.S. ordering and delivery marketplace, we feature over 415,000 merchants in ... or Machine Learning Engineer to work in our Discovery and Foundation team. We are focused on ...

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$46.6K

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How much do machine learning startup jobs pay per year?

As of Jun 12, 2026, the average yearly pay for machine learning startup in New York is $46,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,600.00 and $50,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Startup position, and why are they important?

To succeed in a Machine Learning Startup, a strong background in computer science, statistics, and applied mathematics is essential, along with practical experience building and deploying machine learning models. Proficiency in tools such as Python, TensorFlow, PyTorch, and cloud-based platforms, as well as familiarity with data versioning and model deployment systems, is highly valuable. Adaptability, entrepreneurial thinking, and strong communication skills are crucial for thriving in the dynamic startup environment. These competencies enable effective product development, rapid iteration, and impactful collaboration within a fast-paced, resource-constrained setting.

What are the typical responsibilities and daily challenges when working at a Machine Learning Startup?

At a Machine Learning Startup, your daily tasks often include collecting and preprocessing data, training and validating models, collaborating with engineers to deploy solutions, and iterating rapidly based on feedback and performance metrics. You may also contribute to brainstorming sessions, product roadmapping, and customer discovery processes. Common challenges include working with limited labeled data, balancing research with production needs, and managing shifting priorities as the business pivots or scales. This dynamic environment provides a valuable opportunity to make a tangible impact, develop a broad skill set, and gain exposure to multiple aspects of both technology and entrepreneurship.

What is a Machine Learning Startup job?

A Machine Learning Startup job typically involves working in a fast-paced, early-stage company focused on developing and applying machine learning technologies. Employees may take on diverse responsibilities, including data collection, model development, algorithm optimization, and deployment. Since startups require adaptability, roles often blend research, engineering, and business-oriented problem-solving. These positions offer opportunities to work on cutting-edge innovations but may also demand long hours and rapid prototyping.

What are the most commonly searched types of Machine Learning Startup jobs in New York? The most popular types of Machine Learning Startup jobs in New York are:
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Machine Learning Startup jobs near you

Senior Machine Learning Engineer

Orita

New York, NY • On-site, Remote

$180K - $250K/yr

Full-time

Posted 7 days ago

Job description

About Orita
Orita builds AI customer segments for many of the best brands in the world including (deep breath) Spanx, ThirdLove, True Classic, Tracksmith, Harney & Sons, Sun Bum, Ministry of Supply, Thursday Boots, gorjana, and hundreds more.
Orita's algorithms help brands understand who wants to hear from them, when, and through what channel (email, SMS, direct mail today, more coming soon ...). By messaging prospects and customers when they're actually listening, you're able to make a bunch of money.
In a world where acquisition costs are skyrocketing, fixing retention and driving LTV is the key to profitable growth.
The Role
As a Senior Machine Learning Engineer at Orita, you will:
  • Build and Productionize Models: Design, train, and deploy models that directly power our marketing-focused products, primarily for marketing use cases.
  • Develop Scalable ML Infrastructure: Architect and maintain robust, scalable, MLOps pipelines to ensure reliable training, serving, and monitoring of models in production.
  • Experiment & Optimize: Drive continuous improvement using A/B testing, uplift modeling, causal inference, and other advanced experimentation frameworks to validate and refine model performance.
  • Collaborate & Mentor: Work closely with cross-functional teams, including the CEO and CTO, to align on product goals and foster best practices for machine learning and data engineering across the organization.
Ideal Background
Please apply even if you don't meet every requirement. We're looking for a versatile engineer who can learn quickly and own problems end-to-end.
  • Education & Experience
    • 5+ years of full-time software engineering experience, including at least 3 years working on ML systems.
  • ML Expertise:
    • Deep knowledge of modern machine learning algorithms (tree-based methods, deep learning architectures, transformers/LLMs).
    • Hands-on experience with PyTorch, TensorFlow, XGBoost or equivalent frameworks.
    • Feature engineering using aggregations, embeddings, and sub-models.
  • MLOps & Cloud:
    • Track record building production-scale ML infrastructures, ideally using GCP (Vertex AI, KubeFlow, BigQuery, etc.).
    • Familiarity with CI/CD, containerization (Docker/Kubernetes), and distributed training (Spark, Ray, Dask, etc.).
    • Experience iterating models in a production environment is a must.
  • Software Engineering Skills
    • Strong proficiency in Python (numpy, pandas, etc.).
    • Experience with scalable data processing (Spark, Ray, BigQuery).
    • Job orchestration (Airflow)
  • Analytical & Statistical Background
    • Comfortable with advanced experimentation techniques.
    • Understanding of performance measurement in real-world deployments.
  • Soft Skills & Culture
    • Comfortable wearing many hats-data wrangling, model development, deployment, monitoring, and performance optimization. We value ownership of the full lifecycle.
    • Excellent communication-able to explain complex ML concepts to non-technical stakeholders.
    • Self-starter mentality with the ability to own projects from ideation to deployment, picking up and learning new technologies as needed.
Bonus Points
  • Familiarity with marketing technology or ads is a strong plus.
  • Experience with experimental design and methods such as causal inference or uplift modeling.
  • Exposure to modeling with LLMs and modern AI tooling.
  • Productionizing Reinforcement Learning and Bandit algorithms.
  • Ph.D in a technical field
  • Experience in a fast-paced or startup environment.
  • You live in or near New York City. Most of us work in EST.
Why Orita?
  • Impact: Join a lean, agile team shaping the future of ML for leading global brands.
  • Growth: Work directly with industry veterans with strong academic and professional backgrounds.
  • Innovation: Experiment with the latest ML models, from tree-based methods to cutting-edge LLMs.
  • Culture: We value ownership, iteration, and continuous learning-everyone's voice matters.

Orita is an Equal Opportunity Employer and does not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation, or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics.

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